| A fast learning algorithm for deep belief nets GE Hinton, S Osindero, YW Teh Neural computation 18 (7), 1527-1554, 2006 | 14887 | 2006 |
| Hierarchical Dirichlet Processes YW Teh, MI Jordan, MJ Beal, DM Blei Journal of the American Statistical Association 101, 1566-1581, 2006 | 4468* | 2006 |
| Bayesian Learning via Stochastic Gradient Langevin Dynamics M Welling, YW Teh ICML, 2011 | 1231 | 2011 |
| The concrete distribution: A continuous relaxation of discrete random variables CJ Maddison, A Mnih, YW Teh ICLR, 2017 | 1120 | 2017 |
| On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh arXiv preprint arXiv:1205.2662, 2009 | 696 | 2009 |
| A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation YW Teh, D Newman, M Welling CALIFORNIA UNIV IRVINE SCHOOL OF INFORMATION AND COMPUTER SCIENCE, 2007 | 694 | 2007 |
| A hierarchical Bayesian language model based on Pitman-Yor processes YW Teh Proceedings of the 21st International Conference on Computational …, 2006 | 619 | 2006 |
| Dirichlet Process. YW Teh Encyclopedia of machine learning, 280-287, 2010 | 545 | 2010 |
| A fast and simple algorithm for training neural probabilistic language models A Mnih, YW Teh arXiv preprint arXiv:1206.6426, 2012 | 536 | 2012 |
| Names and faces in the news TL Berg, AC Berg, J Edwards, M Maire, R White, YW Teh, ... Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 506 | 2004 |
| Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. YW Teh, MI Jordan, MJ Beal, DM Blei NIPS, 2005 | 473 | 2005 |
| Hierarchical Bayesian nonparametric models with applications YW Teh, MI Jordan Bayesian nonparametrics 1, 158-207, 2010 | 374 | 2010 |
| Beam sampling for the infinite hidden Markov model J Van Gael, Y Saatci, YW Teh, Z Ghahramani Proceedings of the 25th international conference on Machine learning, 1088-1095, 2008 | 308 | 2008 |
| Stick-breaking construction for the Indian buffet process YW Teh, D Grür, Z Ghahramani Artificial Intelligence and Statistics, 556-563, 2007 | 292 | 2007 |
| Automatic alignment of local representations YW Teh, ST Roweis Advances in neural information processing systems, 865-872, 2003 | 274 | 2003 |
| Semiparametric latent factor models M Seeger, YW Teh, M Jordan | 253 | 2005 |
| Distral: Robust multitask reinforcement learning YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ... NIPS2017, 2017 | 240 | 2017 |
| Variational Bayesian approach to movie rating prediction YJ Lim, YW Teh Proceedings of KDD cup and workshop 7, 15-21, 2007 | 225 | 2007 |
| Bayesian Nonparametric Models. P Orbanz, YW Teh Encyclopedia of machine learning 1, 2010 | 224 | 2010 |
| Collapsed Variational Dirichlet Process Mixture Models. K Kurihara, M Welling, YW Teh IJCAI 7, 2796-2801, 2007 | 224 | 2007 |
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVahvistettu sähköpostiosoite verkkotunnuksessa cs.toronto.edu
